Computation of Recommender System Using Localized Regularization. - Kourosh Modarresi (ICCS, 2015)

Unsupervised Feature Extraction Using Singular Value Decomposition. - Kourosh Modarresi (ICCS, 2015)

Algorithmic Approach for Learning a Comprehensive View of Online Users. - Kourosh Modarresi (ICCS, 2016)

Recommendation System Based on Complete Personalization. - Kourosh Modarresi (ICCS, 2016)

Efficient Hybrid Algorithms for Computing Clusters Overlap. - Pradeep Javangula; Kourosh Modarresi; Paresh Shenoy; Yi Liu; Aran Nayebi (ICCS, 2017)

Finding the Winner of a Hypothesis Test via Sample Allocation Optimization. - Kourosh Modarresi; Khashayar Khosravi (ICCS, 2017)

An Efficient Deep Learning Model for Recommender Systems. - Kourosh Modarresi; Jamie Diner (ICCS (2), 2018)

Standardization of Featureless Variables for Machine Learning Models Using Natural Language Processing. - Kourosh Modarresi; Abdurrahman Munir (ICCS (2), 2018)

Generalized Variable Conversion Using K-means Clustering and Web Scraping. - Kourosh Modarresi; Abdurrahman Munir (ICCS (2), 2018)

Determining Adaptive Loss Functions and Algorithms for Predictive Models. - Michael C. Burkhart; Kourosh Modarresi (ICCS (2), 2019)

Adaptive Objective Functions and Distance Metrics for Recommendation Systems. - Michael C. Burkhart; Kourosh Modarresi (ICCS (2), 2019)

An Evaluation Metric for Content Providing Models, Recommendation Systems, and Online Campaigns. - Kourosh Modarresi; Jamie Diner (ICCS (2), 2019)

Detecting the Most Insightful Parts of Documents Using a Regularized Attention-Based Model. - Kourosh Modarresi (ICCS (3), 2020)